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Parallelizing Alternating Direction Implicit Solver on GPUs
2013
Procedia Computer Science
We present a parallel Alternating Direction Implicit (ADI) solver on GPUs. Our implementation significantly improves existing implementations in two aspects. First, we address the scalability issue of existing Parallel Cyclic Reduction (PCR) implementations by eliminating their hardware resource constraints. As a result, our parallel ADI, which is based on PCR, no longer has the maximum domain size limitation. Second, we optimize inefficient data accesses of parallel ADI solver by leveraging
doi:10.1016/j.procs.2013.05.202
fatcat:6r737lx3rzagdpmdw663qdbr6u